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An Algorithm to Assess Calcium Bioavailability from Foods.

Connie M Weaver1, Meryl Wastney2, Andrew Fletcher3

  • 1School of Exercise and Nutritional Sciences, San Diego State University, San Diego, CA, United States.

The Journal of Nutrition
|December 10, 2023
PubMed
Summary
This summary is machine-generated.

A new algorithm predicts calcium bioavailability by considering food composition and inhibitors like oxalate and phytate. This tool helps assess dietary calcium absorption for individuals and populations.

Keywords:
algorithmbioavailabilitycalciumcalcium absorptioncalcium requirements

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Area of Science:

  • Nutritional Science
  • Human Physiology
  • Food Chemistry

Background:

  • Calcium requirements vary by age and are based on average absorption rates.
  • Individual calcium absorption is influenced by physiological factors, dietary calcium load, and food composition.
  • Dietary bioavailability is crucial for determining the actual calcium intake needed to meet requirements.

Purpose of the Study:

  • To enhance the prediction of calcium bioavailability.
  • To develop a model based on the food matrix and its impact on calcium absorption.

Main Methods:

  • Calcium absorption data from 496 observations were analyzed.
  • Calcium isotopic tracers were used to determine absorption from various foods, beverages, and fortified foods.
  • Milk was used as a reference to account for host physiological variations.

Main Results:

  • A predictive algorithm for calcium bioavailability in adults was developed.
  • The algorithm incorporates calcium load, oxalate load, and phytate load.
  • Oxalate and phytate were identified as the primary inhibitors of calcium absorption.

Conclusions:

  • The developed algorithm aids in assessing calcium availability from the food supply.
  • It supports the creation of tailored diets for individuals and research groups.
  • The algorithm can inform public health policies and interventions to combat inadequate calcium intake.